Role: Junior Data Engineer
Location: Bangalore
Experience: 2–3 Years
Employment Type: Full time

Job Summary
We are looking for a Junior Data Engineer with 2–3 years of hands-on/project experience in Azure Databricks, PySpark/Spark, SQL, Python, ETL/ELT, Delta Lake, ADLS Gen2, Azure SQL, and Azure DevOps. The candidate should have a good understanding of modern cloud data engineering, Medallion Architecture, data quality, security, and pipeline development.

Key Responsibilities
Develop and support data ingestion and ETL/ELT pipelines.
Perform data transformations using PySpark/Spark, SQL, and Python.
Work with Bronze, Silver, and Gold layers using Medallion Architecture.
Integrate data from ADLS Gen2 and Azure SQL.
Develop and support Databricks Notebooks, Jobs, and Workflows.
Work with Delta Lake, Unity Catalog, and basic streaming.
Perform data cleansing, validation, and basic data-quality checks.
Monitor pipelines, execute routine jobs, and troubleshoot basic issues.
Assist with Azure DevOps, CI/CD,



and deployment activities.
Apply basic RBAC and security practices.
Support basic data modeling and cloud data engineering activities.
Document pipelines and processes and work with senior team members to understand requirements.

Required Skills
Azure Databricks
PySpark / Apache Spark
SQL
Python
ETL / ELT
Delta Lake
Medallion Architecture – Bronze / Silver / Gold
ADLS Gen2
Azure SQL
Databricks Notebooks / Jobs / Workflows
Unity Catalog
Basic streaming
Azure DevOps & basic CI/CD
RBAC / security fundamentals
Basic data cleansing, validation, data quality, and data modeling

Preferred / Good-to-Have
Academic/project experience with PySpark and SQL
Previous Databricks projects or internships
AZ-900 certification/fundamentals
Familiarity with Power BI
Exposure to other cloud platforms
Basic understanding of data modeling

📌 Junior Data Engineer (Bengaluru)
🏢 Ignisov Consulting Services
📍 Bengaluru